Northumbria University Newcastle - Mathematics BSc (Hons)

Northumbria University Newcastle

Mathematics BSc (Hons)

A Mathematics degree from Northumbria will build your analytical and quantitative skills, as well as develop you into a problem solver and a flexible thinker. You will explore the elegance of pure mathematics, apply your theories, use computers to solve mathematical equations, and cultivate a strong modelling instinct to translate everyday problems into mathematics. 

Previous Mathematics graduates have gone on to work at Intel, NHS, the financial industry (including Accenture, Ernst & Young, Procter & Gamble), UK Government’s Department for Work and Pensions, Government Statistical Service, BAE Systems, and Rolls-Royce. 

 We are passionate about allowing you to choose what you study. So, in your final year, you can specialise in areas such as financial mathematics, cryptography, and medical statistics. Furthermore, take advantage of the opportunity to study abroad, developing your cultural awareness. Or, carry out placements with the likes of Nissan, Lloyds, or IBM, helping you achieve essential industry experience. 

Entry Requirements

Standard Entry

120 UCAS Tariff points

From a combination of acceptable Level 3 qualifications which may include: A-level, T Level, BTEC Diplomas/Extended Diplomas, Scottish and Irish Highers, Access to HE Diplomas, or the International Baccalaureate.

Subject Requirements:

Applicants will need Grade B in an A-level Mathematics, or a recognised equivalent.

GCSE Requirements:

Applicants will need Maths and English Language at minimum grade 4/C, or an equivalent.

English Language Requirements:

International applicants should have a minimum overall IELTS (Academic) score of 6.0 with 5.5 in each component (or an approved equivalent*).

Career Prospects

We place great emphasis on supporting you to develop the knowledge and skills that employers value the most, including transferable skills such as creative thinking, communication, analysis and IT.

Mathematics graduates are highly sought after in a variety of sectors, both in the UK and internationally, including the financial sector and public sector, as well as in commerce, industry and teaching.

Course Details

From the outset, we’ll help you to take responsibility for your own learning as you develop the skills to investigate the frontiers of mathematics and statistics.

You’ll be taught through lectures, classes, seminars and workshops in computer labs where you’ll work with your fellow students, supported by academic staff.

You’ll be able to use the university’s online resources to support your study, including the e-learning portal where you can access course materials and develop discussions with your peers.

We’ll also encourage you to take an independent approach to problem solving and you’ll develop skills in computer programming and data analysis using a range of specialist applications.

Year 1

Calculus (Core,20 Credits)
Computational Mathematics (Core,20 Credits)
Dynamics (Core,20 Credits)
Probability and Statistics (Core,20 Credits)
Real Analysis (Core,20 Credits)
Linear Algebra and Geometry (Core,20 Credits)
Academic Language Skills for Mathematics, Physics and Electrical Engineering (Core – for International and EU students only,0 Credits

Year 2

Further Computational Mathematics (Core,20 Credits)
Applied Statistical Methods (Core,20 Credits)
Ordinary & Partial Differential Equations (Core,20 Credits)
Vector Calculus & Further Dynamics (Core,20 Credits)
Academic Language Skills for Mathematics, Physics and Electrical Engineering (Core – for International and EU students only,0 Credits)
Complex Variables (Core,20 Credits)
Statistical Modelling and Data Visualisation (Core,20 Credits)

Year 3

International Academic Exchange 1 (Optional,60 Credits)
Academic Language Skills for Mathematics, Physics and Electrical Engineering (Core – for International and EU students only,0 Credits)
Work placement year (Optional,120 Credits)
Study abroad year (Optional,120 Credits)
Work placement semester (Optional,60 Credits)

Year 4

Financial Mathematics (Optional,20 Credits)
Mathematical Cryptology (Optional,20 Credits)
Fluid Dynamics (Optional,20 Credits)
Dynamical Systems (Optional,20 Credits)
Advanced Statistical Methods (Optional,20 Credits)
Medical Statistics (Optional,20 Credits)
Project (Core,40 Credits)
Geophysical Dynamics (Optional,20 Credits)
Academic Language Skills for Mathematics, Physics and Electrical Engineering (Core – for International and EU students only,0 Credits)
Data Science (Optional,20 Credits)
Optimisation and decision analytics (Optional,20 Credits)
Methods of Applied Mathematics (Optional,20 Credits)

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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